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arXiv 1012.5508physics.ins-dethep-ex
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A new approach in modeling the response of RPC detectors

L. Benussi, S. Bianco, S. Colafranceschi, F. L. Fabbri, M. Giardoni, L. Passamonti, D. Piccolo, D. Pierluigi, A. Russo, G. Saviano, S. Buontempo, A. Cimmino, M.… 展开作者

L. Benussi, S. Bianco, S. Colafranceschi, F. L. Fabbri, M. Giardoni, L. Passamonti, D. Piccolo, D. Pierluigi, A. Russo, G. Saviano, S. Buontempo, A. Cimmino, M. de Gruttola, F Fabozzi, A. O. M. Iorio, L. Lista, P. Paolucci, P. Baesso, G. Belli, D. Pagano, S. P. Ratti, A. Vicini, P. Vitulo, C. Viviani, A. Sharma, A. K. Bhattacharyya

英文摘要:

The response of RPC detectors is highly sensitive to environmental variables. A novel approach is presented to model the response of RPC detectors in a variety of experimental conditions. The algorithm, based on Artificial Neural Networks, has been developed and tested on the CMS RPC gas gain monitoring system during commissioning.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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